{"id":"W7034429402","doi":"","title":"Triggering of pit and pore growth at predefined sub–micrometer surface locations","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Surface (topology); Surface roughness; Welding","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002158434,0.000270943,0.0005349327,0.0002204533,0.0004459951,0.0007768406,0.0005144388,0.0007069083,0.006894475],"category_scores_gemma":[0.001479117,0.0004176682,0.0004220653,0.0002057962,0.0003989717,0.0008133201,0.0009232884,0.0009137209,0.001608392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004998597,"about_ca_system_score_gemma":0.0003872274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007558297,"about_ca_topic_score_gemma":0.00128055,"domain_scores_codex":[0.999548,0.00001471246,0.00001432498,0.00007630281,0.0001864083,0.0001602372],"domain_scores_gemma":[0.9991731,0.0003120417,0.00009820924,0.0001424419,0.0001621807,0.0001119407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003727223,0.00006992526,0.001309334,0.0002503974,0.00001776662,0.0005856937,0.0001549209,0.001529424,0.9832591,0.002028669,0.001639506,0.008782424],"study_design_scores_gemma":[0.00005865465,0.0002293332,0.006278914,0.00001224953,0.00001242696,0.0003370428,0.0001713698,0.01186989,0.9751628,0.0007795258,0.005061642,0.00002606893],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440747,0.00102632,0.02963563,0.0006675909,0.0005153526,0.0002555042,0.001168209,0.00128485,0.02137186],"genre_scores_gemma":[0.9927145,0.0001741999,0.003714437,0.00006960791,0.00002384887,0.00005585056,0.0002485882,0.0000912745,0.002907706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006894475,"threshold_uncertainty_score":0.02306432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437132385516163,"score_gpt":0.3031884562312088,"score_spread":0.2788171323760472,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}